Skill Benchmark: i4h-workflow-finetune
✅ Overall verdict: PASS — Recommended for publication
Publication Recommendation
Recommended for publication based on the completed evaluation evidence in this report.
Evaluation Metadata
- Skill:
i4h-workflow-finetune - Evaluation date: 2026-09-21
- Evaluator version:
1.5.6 - Agents: Claude Code (
aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5) - Tasks: 2 evaluation tasks (2 positive)
- Dataset digest:
sha256:b170a81b7e415375da232ea323fc52b67bb8b05c5682e964f08a4882fc8d6964(skill-evaluator-dataset-snapshot/1) - Attempts per task: 3
- Environment:
k8s-sandbox - Tier 2 evidence: required for publication
- Tier 3 evidence: required for publication
Each task attempt ran in its own isolated sandbox pod.
What This Report Answers
The three-tier evaluation checks whether the skill:
- is safe to use;
- produces correct answers;
- is discovered and activated when needed;
- helps the agent complete the user's goal and expected workflow; and
- avoids wasted skill and tool usage.
Results at a Glance
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 75.2% — baseline ran, but no comparable score was available; uplift unavailable | 60.9% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 100.0% (±0.0 points) | 100.0% → 25.0% (-75.0 points) |
| Correctness | 10.0% → 70.0% (+60.0 points) | 3.3% → 100.0% (+96.7 points) |
| Discoverability | 95.0% — baseline ran, but no comparable score was available; uplift unavailable | 81.3% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 5.0% → 35.0% (+30.0 points) | 5.0% → 28.8% (+23.8 points) |
| Efficiency | 76.1% — baseline ran, but no comparable score was available; uplift unavailable | 69.5% — baseline ran, but no comparable score was available; uplift unavailable |
How to read this table: baseline is the same task attempted without the target skill. Scores are rounded to one decimal; threshold-adjacent values use additional precision so their displayed band matches the verdict. Uplift is derived from those displayed scores and shown in percentage points.
Example: 47.0% → 92.0% (+45.0 points) means the skill-assisted run scored 92.0%, 45.0 percentage points above its 47.0% no-skill baseline.
Token Usage
Actual Tier 3 execution usage is reported for every observed agent/case pair and both conditions.
| Agent | Dataset case | With skill | Without skill | Delta | Change | Coverage |
|---|---|---|---|---|---|---|
| claude-code | All cases | 845,074 | 1,471,217 | N/A | N/A | skill 2/2; base 6/6 |
| claude-code | i4h-workflow-finetune-readme-quick-steps-batch | 465,058 | 613,913 | N/A | N/A | skill 1/1; base 3/3 |
| claude-code | i4h-workflow-finetune-table-short-smoke | 380,016 | 857,304 | N/A | N/A | skill 1/1; base 3/3 |
| codex | All cases | 2,055,132 | 754,442 | N/A | N/A | skill 4/4; base 6/6 |
| codex | i4h-workflow-finetune-readme-quick-steps-batch | 806,550 | 307,407 | N/A | N/A | skill 2/2; base 3/3 |
| codex | i4h-workflow-finetune-table-short-smoke | 1,248,582 | 447,035 | N/A | N/A | skill 2/2; base 3/3 |
| ALL AGENTS | Dataset aggregate | 2,900,206 | 2,225,659 | N/A | N/A | skill 6/6; base 12/12 |
Prompt tokens include cached reads, so total tokens are prompt + completion (cached is not added twice). The Efficiency score uses (prompt - cached) + completion. N/A means the relevant trajectory counters were not available; coverage is never estimated.
Tier Status
| Tier | Purpose | Status | Evidence |
|---|---|---|---|
| Tier 1 | Static validation | PASSED WITH OBSERVATIONS | 11 validator(s); 2 finding(s) |
| Tier 2 | Semantic deduplication | PASSED | 2 validator(s); 0 finding(s) |
| Tier 3 | Live agent evaluation | PASS | 2 agent(s); 2 task(s) |
Findings and Observations
<details> <summary>Show detailed findings and successful checks</summary>- LOW QUALITY/quality_reliability: Inputs are used but no dedicated Inputs section is documented (
team-skills/holoscan/i4h-workflows/i4h-workflow-finetune/SKILL.md) - LOW SECURITY/Unknown (SQP-2): The skill automatically clones an external GitHub repository into the user's home directory (~/$I4H_REPO_DIR_NAME) witho (
SKILL.md:39)
Scoring Methodology
<details> <summary>Show dimension definitions, source signals, and thresholds</summary>| Dimension | Question | Scored signals |
|---|---|---|
| Security | Is it safe to use? | security (100%) |
| Correctness | Is the answer correct? | accuracy (100%) |
| Discoverability | Was the right skill loaded when needed? | skill_execution (100%) |
| Effectiveness | Did the skill help complete the task? | goal_accuracy (50%) + behavior_check (50%) |
| Efficiency | Did it avoid wasted tool calls and token usage? | skill_efficiency (50%) + token_efficiency (50%) |
- Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
- Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
- Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
- The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
- Effectiveness is the equal-weight mean of goal completion (
goal_accuracy) and expected workflow adherence (behavior_check). - Efficiency is 50% tool-call productivity (the backward-compatible
skill_efficiencywire id) and 50%token_efficiency. Positive-case skill routing is scored under Discoverability, not Efficiency; a negative case without a routing target is N/A. N/A sources are omitted, remaining weights are renormalized, and the dimension is marked partial.
Signals present in this run:
security(Security): unsafe operations, secret leakage, and unauthorized access.skill_execution(Skill Execution): whether the expected skill was selected, decoys were avoided, and the workflow executed.skill_efficiency(Tool Productivity): tool-call productivity (legacy wire id; routing is scored under Discoverability).accuracy(Accuracy): final-answer correctness against the reference answer.goal_accuracy(Goal Accuracy): whether the user's goal was achieved.behavior_check(Behavior Check): whether the expected workflow behavior was followed.token_efficiency(Token Efficiency): actual uncached prompt plus completion usage (50% of Efficiency).
Freshness
Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.